AIMC Topic: Young Adult
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A minimal set of physiomarkers in continuous high frequency data streams predict adult sepsis onset earlier.
International journal of medical informatics
Dec 10, 2018
PURPOSE: Sepsis is a life-threatening condition with high mortality rates and expensive treatment costs. To improve short- and long-term outcomes, it is critical to detect at-risk sepsis patients at an early stage.
Feasibility of Reidentifying Individuals in Large National Physical Activity Data Sets From Which Protected Health Information Has Been Removed With Use of Machine Learning.
JAMA network open
Dec 7, 2018
IMPORTANCE: Despite data aggregation and removal of protected health information, there is concern that deidentified physical activity (PA) data collected from wearable devices can be reidentified. Organizations collecting or distributing such data s...
From cognitive and clinical substrates to functional profiles: Disentangling heterogeneity in schizophrenia.
Psychiatry research
Dec 6, 2018
The relationship between neurocognition and functioning among patients with schizophrenia is well documented. However, integrating neuropsychological, clinical and psychopathological data to better investigate functional outcome still constitutes a c...
Neural network analysis of sleep stages enables efficient diagnosis of narcolepsy.
Nature communications
Dec 6, 2018
Analysis of sleep for the diagnosis of sleep disorders such as Type-1 Narcolepsy (T1N) currently requires visual inspection of polysomnography records by trained scoring technicians. Here, we used neural networks in approximately 3,000 normal and abn...
Bidirectional Recurrent Auto-Encoder for Photoplethysmogram Denoising.
IEEE journal of biomedical and health informatics
Dec 5, 2018
Photoplethysmography (PPG) has become ubiquitous with the development of smart watches and the mobile healthcare market. However, PPG is vulnerable to various types of noises that are ever present in uncontrolled environments, and the key to obtainin...
Exploring the interactions between serum free fatty acids and fecal microbiota in obesity through a machine learning algorithm.
Food research international (Ottawa, Ont.)
Dec 5, 2018
Serum free fatty acids (FFA) are generally elevated in obesity. The gut microbiota is involved in the host energy metabolism through the regulation of body fat storage, and a link between diet, FFA and the intestinal microbiota seems to exist. Our ai...
Integrated machine learning pipeline for aberrant biomarker enrichment (i-mAB): characterizing clusters of differentiation within a compendium of systemic lupus erythematosus patients.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Dec 5, 2018
Clusters of differentiation () are cell surface biomarkers that denote key biological differences between cell types and disease state. CD-targeting therapeutic monoclonal antibodies () afford rich trans-disease repositioning opportunities. Within a ...
SmartHeLP: Smartphone-based Hemoglobin Level Prediction Using an Artificial Neural Network.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Dec 5, 2018
Blood hemoglobin level (Hgb) measurement has a vital role in the diagnosis, evaluation, and management of numerous diseases. We describe the use of smartphone video imaging and an artificial neural network (ANN) system to estimate Hgb levels non-inva...
Improving the calling of non-invasive prenatal testing on 13-/18-/21-trisomy by support vector machine discrimination.
PloS one
Dec 5, 2018
With the advance of next-generation sequencing (NGS) technologies, non-invasive prenatal testing (NIPT) has been developed and employed in fetal aneuploidy screening on 13-/18-/21-trisomies through detecting cell-free fetal DNA (cffDNA) in maternal b...
False Negative Reactions
False Positive Reactions
Prenatal Diagnosis
Trisomy 13 Syndrome
Trisomy 18 Syndrome
Sequence Analysis, DNA
Diagnosis, Differential
Genetic Testing
High-Throughput Nucleotide Sequencing
Down Syndrome
Humans
Machine Learning
Retrospective Studies
Pregnancy
Female
Young Adult
Adult
Diagnosis, Computer-Assisted
Support Vector Machine
Combination of high-frequency SSVEP-based BCI and computer vision for controlling a robotic arm.
Journal of neural engineering
Dec 3, 2018
OBJECTIVE: Recent attempts in developing brain-computer interface (BCI)-controlled robots have shown the potential of this area in the field of assistive robots. However, implementing the process of picking and placing objects using a BCI-controlled ...
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